Intelligent Methods with Applications in Volcanology and Seismology

This book presents intelligent methods like neural, neuro-fuzzy, machine learning, deep learning and metaheuristic methods and their applications in both volcanology and seismology. The complex system of volcanoes and also earthquakes is a big challenge to identify their behavior using available models, which motivates scientists to apply non-model based methods. As there are lots of seismology and volcanology data sets, i.e., the local and global networks, one solution is using intelligent methods in which data-based algorithms are used.

Describes various applications in volcanology and seismology Provides well organized flowcharts and codes to clarify how to apply the intelligent methods Covers examples of applications

Contenu
Chapter1-Intelligent methods and motivations to use in volcanology and seismology.- Chapter2-Machine Learning: The concepts.- Chapter 3 - Machine Learning Applications in volcanology and seismology.- Chapter 4 - Deep Learning: The concepts.- Chapter 5:Deep Learning: Applications in Seismology and Volcanology.- Chapter 6: Evolutionary Algorithms with focus on Genetic Algorithm.- Chapter 7: Application of Genetic Algorithm in volcanology and seismology.